| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701019 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701019
Extending ALICE’s GPU tracking capabilities: Towards a comprehensive accelerated barrel reconstruction
CERN, 1211 Geneva, Switzerland
* e-mail: matteo.concas@cern.ch
** e-mail: drohr@cern.ch
Published online: 7 October 2025
During Run 3, the ALICE experiment has enhanced its two-phase data processing and reconstruction chain by integrating GPUs, a leap forward in utilizing high-performance computing at the LHC. The initial ’synchronous’ phase engages GPUs to reconstruct and compress data from the TPC detector. Subsequently, the ’asynchronous’ phase partially frees GPU resources, allowing further offloading of additional reconstruction tasks to enhance the reconstruction efficiency. Notably, the Inner Tracking System (ITS) [5] tracking has been ported as an independent module for two major GPU platforms. This work will detail the integration of ITS GPU tracking within the existing framework, aiming to develop a unified GPU-based reconstruction pipeline that minimizes host-device memory transfer latency and coordinating various simultaneous processing stages. Performance metrics of the integrated system will be discussed, highlighting the technical strategies and outcomes of this implementation.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.